A Temporally Adaptive Classifier for Multispectral Imagery  

Oleh:

Wang, Jianqi ; Azimi-Sadjadi, M. R. ; Reinke, D.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 15 no. 1 (Jan. 2004), page 159-165.
Topik: MULTISPECTRAL PHOTOGRAPHY; adaptive classifier; multispectral imagery

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.10 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

This paper presents a new temporally adaptive classification system for multispectral images. A spatial - temporal adaptation mechanism is devised to account for the changes in the feature space as a result of environmental variations. Classification based upon spatial features is performed using Bayesian framework or probabilistic neural networks (PNN s) while the temporal updating takes place using a spatial - temporal predictor. A simple iterative updating mechanism is also introduced for adjusting the parameters of these systems. The proposed methodology is used to develop a pixel - based cloud classification system. Experimental results on cloud classification from satellite imagery are provided to show the usefulness of this system.

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